Is ANVS or APVO more undervalued in 2026?

CirclFi compares Annovis Bio, Inc. (ANVS) and Aptevo Therapeutics Inc. (APVO) using 13 institutional-grade valuation models. ANVS has a Quality of Company score of 3.9/10 while APVO scores 4.2/10.

Which is a better buy — ANVS or APVO?

Compare intrinsic values from 13 independent models against current market prices. CirclFi also calculates Value Trap scores. This is not financial advice — conduct your own analysis.

How do ANVS and APVO valuations compare?

ANVS at $1.90 and APVO at $5.00 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

ANVS vs APVO Valuation Comparison 2026 — Intrinsic Value Analysis

ANVS

Biotechnology

Annovis Bio, Inc.

Quality

3.9

out of 10

Value Trap

SAFE

Price

$1.90

Last close

Models

7/13

Active

APVO

Biotechnology

Aptevo Therapeutics Inc.

Quality

4.2

out of 10

Value Trap

SAFE

Price

$5.00

Last close

Models

6/13

Active

Model-by-Model Comparison

Model	Type	ANVS Fair Value	ANVS Upside	APVO Fair Value	APVO Upside
Bayesian DCF	Intrinsic	$0.69	-63.6%	$6.12	+22.5%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	$0.03	-98.3%	$0.36	-92.6%
Dynamic NAV	Asset-Based	$0.93	-51.1%	—	—
PWERM	Option-Based	$•••.••	••.•%	$•••.••	••.•%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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ANVS vs APVO — Which Stock Is More Undervalued?

APVO scores higher with a 4.2/10 quality rating vs ANVS's 3.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Annovis Bio, Inc. (ANVS) and Aptevo Therapeutics Inc. (APVO) across 13 institutional-grade valuation models reveals how each company's intrinsic value stacks up against its market price. CirclFi's engine processes SEC EDGAR 10-K and 10-Q filings, FRED macroeconomic data, and GDELT news sentiment to generate independent fair value estimates daily.

ANVS currently trades at $1.90 with a QOC of 3.9/10, while APVO trades at $5.00 with a QOC of 4.2/10.

Both companies are analyzed with models spanning intrinsic (Bayesian DCF, EPV), scenario-based (First Chicago), regime-switching (Markov DDM, RCMH-DCF), machine learning (ML-RIV, FTNN Topology), and ensemble methods (CUCE).